Universität Wien

260126 PR Laboratory Scientific Computing (2017S)

10.00 ECTS (6.00 SWS), SPL 26 - Physik
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 12 participants
Language: German, English

Lecturers

Classes (iCal) - next class is marked with N

Friday 10.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien (Kickoff Class)
Friday 17.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 24.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 31.03. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 07.04. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 28.04. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 05.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 12.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 19.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 26.05. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 02.06. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 09.06. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 16.06. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 30.06. 10:30 - 12:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Information

Aims, contents and method of the course

In this laboratory course, students will learn to solve physics problems using computers. Guided by instructors, students will select a small project and work on it during the semester with regular feedback from the instructors. Possible topics include: molecular dynamics simulations, Monte Carlos simulations, integral equations, electronic structure calculations and optimization. Work will consist in writing code, running simulations, analyzing results and writing a final report. Towards the end of the semester participants will give a presentation of their work to their fellow students and to the instructors. Students have the possibility to write their Bachelor's thesis within this laboratory course. Prerequisites: some knowledge of statistical physics and solid state physics, programming skills.

Assessment and permitted materials

Report and presentation

Minimum requirements and assessment criteria

Examination topics

Reading list

“Introduction to Computational Physics”, Franz J. Vesely, WUV Universitätsverlag (1993), (also available online)
“Monte Carlo Simulations in Statistical Physics”, David P. Landau and Kurt Binder, Cambridge University Press (2000).
“Statistical Mechanics: Algorithms and Computations”, Werner Krauth, Oxford University Press (2006)
“Computational Physics”, J. M. Thijssen, Cambridge University Press (1999)

Association in the course directory

PIII 10, LA-Ph213

Last modified: Mo 07.09.2020 15:41